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GeneRec
GeneRec is a generalization of the Recirculation algorithm, and approximates Almeida-Pineda recurrent backpropagation.〔O'Reilly, R.C. Biologically Plausible Error-driven Learning using Local Activation Differences: The Generalized Recirculation Algorithm. Neural Computation, 8, 895-938. (Abstract ) (PDF )〕〔(GeneRec description in Computational explorations in cognitive neuroscience: understanding the mind by Randall C. O'Reilly,Yuko Munakata )〕 It is used as part of the Leabra algorithm for error-driven learning.〔(Leabra overview in Emergent )〕 The symmetric, midpoint version of GeneRec is equivalent to the contrastive Hebbian learning algorithm (CHL).〔 ==See also==
* Leabra * (O'Reilly (1996; Neural Computation) )
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